Machine Translation of Spanish Personal and Possessive Pronouns Using Anaphora Probabilities

Code

• github.com/a-rios/CorefMT
  OfficialIn papernone★ 0

Abstract

We implement a fully probabilistic model to combine the hypotheses of a Spanish anaphora resolution system with those of a Spanish-English machine translation system. The probabilities over antecedents are converted into probabilities for the features of translated pronouns, and are integrated with phrase-based MT using an additional translation model for pronouns. The system improves the translation of several Spanish personal and possessive pronouns into English, by solving translation divergencies such as `ella' vs. `she'/`it' or `su' vs. `his'/`her'/`its'/`their'. On a test set with 2,286 pronouns, a baseline system correctly translates 1,055 of them, while ours improves this by 41. Moreover, with oracle antecedents, possessives are translated with an accuracy of 83\%.

Tasks

Reproductions